DESIGNED · DEVELOPED · ANALYZED DR· SRINIVAS V KODURU · PhD Dr.K RESEARCH & INNOVATION
Visitors
Get In Touch

Research Domain Distribution

From Bench to Bedside — The Story

Expertise Proficiency

Research Experience

19 years spanning 5 institutions — from bench science to diagnostic innovation

Leadership Impact

Currently Working Projects

Cancer Prediction Models

Transcriptomics & Advanced Data Analysis

Decision Tree — Gene-Based Cancer Classification
Deep Neural Network — Multi-Layer Classifier

AI/ML Pipeline Architecture

Per-Sample Classification Dashboard

A
B
C
ROC/AUC with 95% CI
AUC > 0.99 demonstrates near-perfect diagnostic separation between cancer and control samples.
2D ivis Embedding
Clear cluster separation confirms distinct molecular signatures between disease states.
Multimetric Radar — Model Comparison
SVM achieves balanced performance across all metrics, outperforming ensemble and regression models.
SHAP Waterfall Plot
SHAP values reveal which genes drive each prediction, ensuring clinical interpretability.
Threshold — Sensitivity Analysis
Optimal threshold maximizes sensitivity while maintaining >99% specificity for clinical use.
Model Calibration Curve
Well-calibrated predictions ensure reported confidence scores align with actual outcomes.
LOOCV Performance Comparison
Confusion Matrix — Cancer Test Model
Gene Expression Profiles Across Cancer Types

Gene Expression Bubble Matrix — Multi-Cancer Panel

Low
High
Oncogene Tumor Suppressor Signaling

Technical Skills

Peer-reviewed Publications

Peer-Reviewed Abstracts

Patents

Academic Background

Get In Touch

Let's Collaborate

Interested in biomarker development, AI/ML diagnostic models, NGS data analysis, or transcriptomics consulting? I'm open to collaborations, consulting opportunities, and research partnerships.

Visitors Worldwide

Total Visitors
Countries